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How to watch Connecticut Sun vs. Indiana Fever online for free

Mashable

Mashable's Best: E-readers, robovacs, laptops, earbuds, smart home and more Look Up Creator Playbook Mashable Voices Trending Now Say More Mashable Selects Safety Net Versus Gift Ideas For Everyone On Your List Switch Off In My Bag All Series How to watch Connecticut Sun vs. Indiana Fever online for free Matt Ford is a freelance contributor to Mashable. All products featured here are independently selected by our editors and writers. If you buy something through links on our site, Mashable may earn an affiliate commission. Caitlin Clark of the Indiana Fever keeps making WNBA history. The latest record came during Sunday's 113-90 win over Chicago Sky, where Clark -- a three-time WNBA All Star -- and partner Kelsey Mitchell became the first duo to score 30 points each in three different games.


Twitch and Amazon hit with lawsuit for training AI with streamers' content

Engadget

A streamer has taken a stand against Twitch and Amazon using his content to train AI models. Warren Pandiscia, a streamer based in Connecticut, filed a class action lawsuit earlier this week, as first reported by Courthouse News. The complaint accused Twitch and Amazon of not obtaining licensing or permission before using his Twitch streams and videos as a "dataset necessary to fuel Amazon's AI products." Earlier this month, Twitch Support posted on X that it added an option to opt out of "having your channel content used to train generative AI content models across Amazon." Shortly after, Twitch hosted an episode of its recurring Patch Notes stream where Mike Minton, the company's chief product officer, said "if it was opt-in, nobody would opt in," when asked by a viewer why the Twitch settings for AI training aren't opt-in but instead enabled by default, requiring users to opt out if they don't want to participate.


AI isn't just a problem, it's a solution. Some people are already making the most of it

FOX News

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June heatwave cost the UK economy more than 1 BILLION, study claims

Daily Mail - Science & tech

Stranded tourists flee for their lives by boat as'apocalyptic mega-fire' triggers total evacuation of'French Hamptons' Bargain hunter bought Connecticut mansion for a pittance only to find family decomposing inside. Why Tom Brady's midlife crisis after Gisele Bundchen divorce threatens to ruin his legacy... and he doesn't care! Jon Bon Jovi, 64, abruptly stops NYC concert and tells audience he is'hurt' before leaving the stage So much has never been made public': Insiders at very top of Hollywood tell me bombshell twist that flips Taylor Swift-Lively feud on its head: ROB SHUTER McDonald's copies Costco with its newest menu item and fans have mixed reactions Meghan and Harry share snaps of their European summer holiday as pro-Sussex People magazine reveals they stayed at Princess Diana's childhood home with Archie and Lilibet House of Horrors mom insists her kids were NOT'feral', as lawyer reveals her incredulous excuse for their'messy' home The age when you must give up smoking to escape the risk of lung cancer: Experts reveal the truth about what quitting does to your body in your 30s, 40s, and 50s... and the REAL impact of that one cheeky cigarette a week White House defends Sophie Cunningham amid woke backlash... as WNBA star doubles down on trans views with new Instagram photos Hot summer snaps of Nicole Kidman getting affectionate with handsome businessman on Italian getaway... as friends speak out about moving on after Keith Urban divorce Argentina star who PUNCHED Spain rival in shameful World Cup final antics hints at quitting international football after'painful' defeat - but finally admits new world champions'were the better team' Harry has reached a new low. It's such a slap in the face to his father... especially after what the King's friend told me: RICHARD EDEN Amal Clooney's diet and fitness regime revealed - and it's surprisingly simple if you don't mind seaweed soup for breakfast! The June heatwave cost the UK economy an estimated ยฃ1.15 billion, according to a new study.


Elon Musk and Jeff Bezos want to put data centres in SPACE - but experts warn they could be 'catastrophic' for the planet

Daily Mail - Science & tech

House of Horrors mom insists her kids were NOT'feral', as lawyer reveals her incredulous excuse for their'messy' home Bargain hunter bought Connecticut mansion for a pittance only to find family decomposing inside. Why Tom Brady's midlife crisis after Gisele Bundchen divorce threatens to ruin his legacy... and he doesn't care! Jon Bon Jovi, 64, abruptly stops NYC concert and tells audience he is'hurt' before leaving the stage So much has never been made public': Insiders at very top of Hollywood tell me bombshell twist that flips Taylor Swift-Lively feud on its head: ROB SHUTER McDonald's copies Costco with its newest menu item and fans have mixed reactions Meghan and Harry share snaps of their European summer holiday as pro-Sussex People magazine reveals they stayed at Princess Diana's childhood home with Archie and Lilibet The age when you must give up smoking to escape the risk of lung cancer: Experts reveal the truth about what quitting does to your body in your 30s, 40s, and 50s... and the REAL impact of that one cheeky cigarette a week White House defends Sophie Cunningham amid woke backlash... as WNBA star doubles down on trans views with new Instagram photos Hot summer snaps of Nicole Kidman getting affectionate with handsome businessman on Italian getaway... as friends speak out about moving on after Keith Urban divorce Amal Clooney's diet and fitness regime revealed - and it's surprisingly simple if you don't mind seaweed soup for breakfast! Harry has reached a new low. It's such a slap in the face to his father... especially after what the King's friend told me: RICHARD EDEN Elon Musk and Jeff Bezos want to put data centres in SPACE - but experts warn they could be'catastrophic' for the planet Data centres in space could be'catastrophic' for the planet, scientsts have warned in response to plans laid out by some of the world's richest people.


Alan Turing wasn't an awkward mathematician! Gay short story reveals he was also a fun, cheeky man who loved sex, experts say

Daily Mail - Science & tech

House of Horrors mom insists her kids were NOT'feral', as lawyer reveals her incredulous excuse for their'messy' home Bargain hunter bought Connecticut mansion for a pittance only to find family decomposing inside. Why Tom Brady's midlife crisis after Gisele Bundchen divorce threatens to ruin his legacy... and he doesn't care! Jon Bon Jovi, 64, abruptly stops NYC concert and tells audience he is'hurt' before leaving the stage So much has never been made public': Insiders at very top of Hollywood tell me bombshell twist that flips Taylor Swift-Lively feud on its head: ROB SHUTER McDonald's copies Costco with its newest menu item and fans have mixed reactions Meghan and Harry share snaps of their European summer holiday as pro-Sussex People magazine reveals they stayed at Princess Diana's childhood home with Archie and Lilibet The age when you must give up smoking to escape the risk of lung cancer: Experts reveal the truth about what quitting does to your body in your 30s, 40s, and 50s... and the REAL impact of that one cheeky cigarette a week White House defends Sophie Cunningham amid woke backlash... as WNBA star doubles down on trans views with new Instagram photos Hot summer snaps of Nicole Kidman getting affectionate with handsome businessman on Italian getaway... as friends speak out about moving on after Keith Urban divorce Amal Clooney's diet and fitness regime revealed - and it's surprisingly simple if you don't mind seaweed soup for breakfast! Harry has reached a new low. It's such a slap in the face to his father... especially after what the King's friend told me: RICHARD EDEN READ MORE: Alan Turing's unpublished papers sell at auction for ยฃ381,400 If you watched Benedict Cumberbatch star in The Imitation Game, you might remember the legendary British mathematician Alan Turing as an isolated, awkward, and lonely man. However, a racy gay short story shows that the brilliant scientist who helped crack the Nazi's Enigma Code was anything but dull.


How Aldi is taking on US supermarkets with its 4 almond butter

BBC News

When Mary Porter walked into Manhattan's newest Aldi store hunting for bargains, the long-time resident found what she considered a retail miracle in plain sight: a $4 jar of almond butter that costs $22 in her own neighbourhood. Aldi has the reputation for being inexpensive, so I thought I would come and check it out, and by golly, it is amazing, Porter, 79, told the BBC, marvelling at the savings alongside the fresh spinach and organic raspberries filling her basket. To the unassuming passer-by, the storefront is completely hidden, tucked away in an underground parking lot beneath The Ellery, a luxury apartment complex where the cheapest rent starts at nearly $5,000 (ยฃ3,725) a month. In fact, the building's own website completely omits the discount grocer from its curated online neighbourhood guide, choosing instead to highlight pricier nearby options like Whole Foods and Brooklyn Fare. But step past the luxury faรงade into the basement, and the quiet disappears.


Uni-LoRA: One Vector is All You Need

Neural Information Processing Systems

Low-Rank Adaptation (LoRA) has become the de facto parameter-efficient finetuning (PEFT) method for large language models (LLMs) by constraining weight updates to low-rank matrices. Recent works such as Tied-LoRA, VeRA, and VBLoRA push efficiency further by introducing additional constraints to reduce the trainable parameter space. In this paper, we show that the parameter space reduction strategies employed by these LoRA variants can be formulated within a unified framework, Uni-LoRA, where the LoRA parameter space, flattened as a highdimensional vector space RD, can be reconstructed through a projection from a subspace Rd, with d D. We demonstrate that the fundamental difference among various LoRA methods lies in the choice of the projection matrix, P RD d. Most existing LoRA variants rely on layer-wise or structure-specific projections that limit cross-layer parameter sharing, thereby compromising parameter efficiency. In light of this, we introduce an efficient and theoretically grounded projection matrix that is isometric, enabling global parameter sharing and reducing computation overhead. Furthermore, under the unified view of Uni-LoRA, this design requires only a single trainable vector to reconstruct LoRA parameters for the entire LLM - making UniLoRA both a unified framework and a "one-vector-only" solution. Extensive experiments on GLUE, mathematical reasoning, and instruction tuning benchmarks demonstrate that Uni-LoRA achieves state-of-the-art parameter efficiency while outperforming or matching prior approaches in predictive performance.


Donald Trump's White House UFC Event Would Be Embarrassing Anywhere

WIRED

Donald Trump's White House UFC Event Would Be Embarrassing Anywhere A Monster Energy-sponsored MMA show on the White House's South Lawn was never going to be the height of dignity. But UFC Freedom 250 is failing to clear even the lowest bar. With his history of involvement in pro wrestling and boxing and his zeal for garish excess--the man is a failed casino impresario, after all--it makes perfect sense that Donald Trump would want to celebrate both America's birthday and his own with UFC cage fights on the White House lawn, sponsored by Monster Energy. If there's been any surprise, it's been in how the whole affair has so far failed to clear the lowest bar. The event's promoters are certainly setting expectations high.


Asymmetric Scaling Laws from Sparse Features

arXiv.org Machine Learning

We introduce a model for neural scaling laws under sparse activations. In the model, test loss is often dominated by rare coordinates that are never observed in the training input. This mechanism induces a novel bottleneck absent from dense models. We derive the asymptotic population loss in both the underparameterized and overparameterized regimes, and show that the loss exhibits a double-descent peak near the interpolation threshold -- where the number of parameters is just sufficient to fit the training data -- resulting in a loss curve governed by two distinct scaling exponents -- one for the overparameterized regime and one for the underparameterized regime -- with a gap determined by the degree of sparsity. Additionally, we derive a compute-optimal frontier that favors increasing dataset size over model capacity under fixed compute budgets. We also analyze gradient-descent dynamics and identify a scaling law for the probability that fixed-step gradient descent becomes unstable. We further show that the sparsity-induced effect persists under nonlinear activations.